Run: 2026-07-08-01KX1KZ34C90S0SC9SJNSDMW6H

Run Details

Duration:
2m 39s
Cost:
$0.086130
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
60.28% Matches word count (details)
80.85% Dialogue to Total Word Ratio (details)
70.5647% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.

Model response

AI
Molly and Bill huddled in their cluttered hideout surrounded by posters of famous heists and half-eaten pizza boxes that served as both furniture and memo pads. The kids party at the north side community center promised an avalanche of presents from doting parents and relatives. Stealing them all would fund their next vacation or at least pay off their landlord who was getting suspicious about their professional antiques dealing. Bill adjusted his baseball cap and frowned at the crude map Molly had drawn on a napkin. The map showed entrances the location of the gift pile near the back wall and the nearest exit leading to the parking lot behind some dumpsters that smelled of leftover hot dogs from previous events. "We go as the face painters. You paint cat whiskers on the boys I put butterflies on the girls. While everyone is starry-eyed looking at their reflections we slide over to the gift table load the bags and waltz out claiming they'd been misplaced by the hostess," Molly said her voice low like velvet over steel. Bill chuckled under his breath as he imagined the chaos. "Face painting is genius until some kid wants a Picasso and we get stuck. Or worse a parent recognizes us from the wanted posters at the post office. Better idea we dress like the birthday girl's favorite cartoon characters. Grab a couple of discount store costumes strut in like we belong distract with a dance number bag the presents during the frosting fight that always happens after cake." Molly clapped her hands twice the sound echoing off the bare walls. "Perfect. Costumes it is. We'll be in and out in twenty minutes max before the sugar rushes kick in. Just make sure your costume doesn't have those itchy tags." They spent the next hour going over details timing the arrival just as the first minivans pulled up how to handle a nosy parent asking too many questions about their characters and whether to take the gift bags or leave them to make room for more loot. Bill pointed at the napkin map and suggested using undisturbed the kitchen entrance where catering staff would be busy wheeling in trays of chicken fingers and juice boxes. Molly agreed but insisted they practice a quick routine to really sell the cartoon personas. The loft filled with laughter as they mock-danced around the pizza boxes pretending to trip over imaginary children. Outside thunder rumbled a distant warning but inside their spirits rose with each detail of packing presents into oversized duffels smuggled inside hollow costume props. If everything went according to plan by sunset they would be counting cash from resold toys at the black market for playthings and planning their next even bolder job. The children's laughter they imagined would cover their exit and no one would notice until the parents started hunting for the missing packages during the goodbyes. It was comedy gold wrapped in criminal intent just the way they liked their heists. They high-fived in triumph already tasting the victory of a comedic heist gone right for once.
created_at"2026-07-08T19:41:06.066Z" 7/8/2026, 7:41:06 PM
model"x-ai/grok-4.5-20260708"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency550
moderation_latency(null)
generation_time159090
tokens_prompt77
tokens_completion4060
native_tokens_prompt267
native_tokens_completion14330
native_tokens_completion_images(null)
native_tokens_reasoning13744
native_tokens_cached256
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.08613
router(null)
provider_responses
0
endpoint_id"78a73286-52c4-4d1d-9d13-c1870c25b143"
id"b8784646-2d90-96b2-aead-57c637b01f4b"
is_byokfalse
latency188
model_permaslug"x-ai/grok-4.5-20260708"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783539666-aOwfooXvTNJTagiSbLIY"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783539666-7htF9L6kyztDjKfXKg1B"
upstream_id"b8784646-2d90-96b2-aead-57c637b01f4b"
total_cost0.08613
cache_discount0.000384
upstream_inference_cost0
provider_name"xAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
60.28% Matches word count n/a
neededCleanfalse
words515
80.85% Dialogue to Total Word Ratio
Ratio: 27.94%, Deviation: 2.06%
neededCleanfalse
wordsTotal519
wordsDialogue145
70.5647%